Ahcène Boubekki

28 papers A* 3B 3Misc 2Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Post-hoc Self-explanation of CNNs.
CoRR
Ahcène Boubekki, Line H. Clemmensen
2026 J jnl
SuperCM: Improving semi-supervised learning and domain adaptation through differentiable clustering.
Pattern Recognit.
Durgesh Kumar Singh, Ahcène Boubekki, Robert Jenssen, Michael Kampffmeyer
2025 J jnl
Explaining deep learning for ECG using time-localized clusters.
CoRR
Ahcène Boubekki, Konstantinos Patlatzoglou, Joseph Barker, Fu Siong Ng, Antônio H. Ribeiro
2025 J jnl
SuperCM: Improving Semi-Supervised Learning and Domain Adaptation through differentiable clustering.
CoRR
Durgesh Singh, Ahcène Boubekki, Robert Jenssen, Michael Kampffmeyer
2025 — conf
WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements.
ASMUS@MICCAI
Durgesh Kumar Singh, Qing Cao, Sarina Thomas, Ahcène Boubekki, Robert Jenssen, Michael Kampffmeyer
2025 J jnl
WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements.
CoRR
Durgesh Kumar Singh, Qing Cao, Sarina Thomas, Ahcène Boubekki, Robert Jenssen, Michael Kampffmeyer
2024 J jnl
EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods.
CoRR
Benedict Clark, Rick Wilming, Artur Dox, Paul Eschenbach, Sami Hached, Daniel Jin Wodke, Michias Taye Zewdie, Uladzislau Bruila, Marta Oliveira, Hjalmar Schulz, Luca Matteo Cornils, Danny Panknin, Ahcène Boubekki, Stefan Haufe
2024 J jnl
Explainable AI needs formal notions of explanation correctness.
CoRR
Stefan Haufe, Rick Wilming, Benedict Clark, Rustam Zhumagambetov, Danny Panknin, Ahcène Boubekki
2024 J jnl
Explaining the Impact of Training on Vision Models via Activation Clustering.
CoRR
Ahcène Boubekki, Samuel G. Fadel, Sebastian Mair
2024 J jnl
Leveraging Activations for Superpixel Explanations.
CoRR
Ahcène Boubekki, Samuel G. Fadel, Sebastian Mair
2024 A* conf
Pantypes: Diverse Representatives for Self-Explainable Models.
AAAI
Rune D. Kjærsgaard, Ahcène Boubekki, Line H. Clemmensen
2024 J jnl
Pantypes: Diverse Representatives for Self-Explainable Models.
CoRR
Rune D. Kjærsgaard, Ahcène Boubekki, Line H. Clemmensen
2023 J jnl
RELAX: Representation Learning Explainability.
Int. J. Comput. Vis.
Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Ahcène Boubekki, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
2023 J jnl
Selective Imputation for Multivariate Time Series Datasets With Missing Values.
IEEE Trans. Knowl. Data Eng.
Ane Blázquez-García, Kristoffer Wickstrøm, Shujian Yu, Karl Øyvind Mikalsen, Ahcène Boubekki, Angel Conde, Usue Mori, Robert Jenssen, José Antonio Lozano
2023 Misc conf
Supercm: Revisiting Clustering for Semi-Supervised Learning.
ICASSP
Durgesh Singh, Ahcène Boubekki, Robert Jenssen, Michael C. Kampffmeyer
2022 J jnl
Clinically Relevant Features for Predicting the Severity of Surgical Site Infections.
IEEE J. Biomed. Health Informatics
Ahcène Boubekki, Jonas Nordhaug Myhre, Luigi Tommaso Luppino, Karl Øyvind Mikalsen, Arthur Revhaug, Robert Jenssen
2022 A* conf
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model.
NeurIPS
Srishti Gautam, Ahcène Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer
2021 J jnl
Joint optimization of an autoencoder for clustering and embedding.
Mach. Learn.
Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen
2020 — —
Analysis of user behavior.
Ahcène Boubekki
2020 J jnl
Joint Optimization of an Autoencoder for Clustering and Embedding.
CoRR
Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen
2019 J jnl
Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring.
Int. J. Artif. Intell. Educ.
Irina Pandarova, Torben Schmidt, Johannes Hartig, Ahcène Boubekki, Roger Dale Jones, Ulf Brefeld
2018 B conf
Mining User Trajectories in Electronic Text Books.
EDM
Ahcène Boubekki, Shailee Jain, Ulf Brefeld
2017 A* conf
Frame-based Data Factorizations.
ICML
Sebastian Mair, Ahcène Boubekki, Ulf Brefeld
2017 — conf
Infinite Mixtures of Markov Chains.
NFMCP@PKDD/ECML
Jan Reubold, Ahcène Boubekki, Thorsten Strufe, Ulf Brefeld
2017 Misc conf
Propagating Maximum Capacities for Recommendation.
KI
Ahcène Boubekki, Ulf Brefeld, Cláudio Leonardo Lucchesi, Wolfgang Stille
2016 — conf
Data-Driven Analyses of Electronic Text Books.
Solving Large Scale Learning Tasks
Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber, Ulf Brefeld
2015 B conf
Generalising IRT to Discriminate Between Examinees.
EDM
Ahcène Boubekki, Ulf Brefeld, Thomas Delacroix
2015 B conf
Toward Data-Driven Analyses of Electronic Text Books.
EDM
Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber, Ulf Brefeld